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# Software Engineer, Backend

- **Company:** Crazy Maple Studio
- **Location:** Sunnyvale, CA, United States
- **Experience:** Experienced
- **Salary:** $120,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Databases, Continuous Integration, Relational Databases, Software Debugging, Github, Python (Programming Language), PostgreSQL, Machine Learning, MySQL, Node.Js, Open Source Technology, Redis, OpenAI, TypeScript, AI Infrastructure, Pulumi, Retrieval-Augmented Generation, Large Language Models, AI Coding Agents, Backend, Agentic-AI, Build Management, Kubernetes, LiteLLM, Google Gemini, Amazon Simple Queue Service (SQS), Terraform, Serverless Computing
- **Published:** October 18, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=23f8cfba71069e21

## About the Role

* Around 2-5 years of experience building backend systems that real users depend on
 * Strong in at least one backend language, such as Python, TypeScript (Node.js), Go, or Java
 * Solid experience with relational databases (PostgreSQL, MySQL, or similar), plus caching and queues (Redis, SQS, Pub/Sub, or similar)
 * Deployed services on AWS or GCP using containers or serverless (ECS, Cloud Run, Lambda, or similar), and set up CI/CD (GitHub Actions or similar)
 * Kubernetes experience is not required. We keep infrastructure lean at this stage
 * Daily user of AI coding tools, with the drive to go much deeper
 * Fast learner who moves quickly and is comfortable with ambiguity
 * Self-directed, low ego, and willing to do the unglamorous work a zero-to-one product needs
 * Hands-on experience with LLM APIs, RAG, vector databases, or agent frameworks a plus
 * Experience with LLM gateways (such as LiteLLM) or tracking inference costs a plus
 * Infrastructure-as-code experience (Terraform, Pulumi, or similar) a plus
 * Experience with media pipelines or AI image, video, or audio generation a plus
 * Experience with machine learning or model fine-tuning a plus
 * Additional language capability (Mandarin) a plus, though not required

## Description

We're looking for builders. We don't want ticket-closers, and you won't need a 40-page spec. We're putting together a small vanguard team, led directly by our executive team, with one mission: find out what AI can really do for entertainment, then ship it., * Design and build the backend systems behind new AI-powered apps, from first prototype to serving real users at scale

 * Help choose and set up our stack, from languages and databases to deployment and CI/CD
 * Connect large language models (OpenAI, Anthropic, Gemini, or open-source) to our products through a unified gateway, so we can switch models, control costs, and track spend by feature
 * Build the APIs our mobile apps depend on, along with the data foundations that show us what's working
 * Own reliability for the services you build: monitoring, debugging, and fixing what breaks
 * Try new AI infrastructure and research, and turn what you learn into proposals